[[["เข้าใจง่าย","easyToUnderstand","thumb-up"],["แก้ปัญหาของฉันได้","solvedMyProblem","thumb-up"],["อื่นๆ","otherUp","thumb-up"]],[["ไม่มีข้อมูลที่ฉันต้องการ","missingTheInformationINeed","thumb-down"],["ซับซ้อนเกินไป/มีหลายขั้นตอนมากเกินไป","tooComplicatedTooManySteps","thumb-down"],["ล้าสมัย","outOfDate","thumb-down"],["ปัญหาเกี่ยวกับการแปล","translationIssue","thumb-down"],["ตัวอย่าง/ปัญหาเกี่ยวกับโค้ด","samplesCodeIssue","thumb-down"],["อื่นๆ","otherDown","thumb-down"]],["อัปเดตล่าสุด 2024-07-26 UTC"],[[["Recommendation systems often involve candidate generation followed by scoring and ranking to select items for display."],["Candidate generation can leverage various sources like user features, popular items, or social graphs, which are then combined and scored by a separate model."],["Using a single scoring model allows for better comparability and context consideration compared to relying on individual candidate generator scores."],["Careful selection of the scoring function is crucial as it directly impacts the quality and relevance of recommendations, with considerations for click-bait or overly long content."],["Positional bias should be addressed by aiming for position-independent rankings, potentially by scoring candidates as if they were in the top position."]]],[]]
